Літні майстерні з Machine Learning

Machine Learning Summer Workshops are organized by Faculty of Applied Science at Ukrainian Catholic University. Workshops’ participants – young professionals, students, Ph.D. candidates – will study the methods of the machine learning in the problem domains of Computer Vision, Natural Language Processing, and Reinforcement Learning.

The workshops are all problem-oriented, i. e. study process will be based on the real-world problems and their solutions via machine learning approach. The participants will gain solid theoretical knowledge as well as a lot of practical work.

Please notice that participants’ knowledge and skills level should be intermediate or higher. The students have to be familiar with the basic machine learning methods.

There are will be three totally independent workshops (two of them go simultaneously). You may apply for one or two workshops. The information about particular workshops can be found on separate web pages. Below there are the brief descriptions, lecturers, price and terms information.

 

Computer Vision workshop, July 3-7

Part 1. Statistical Decision Theory in Computer Vision, Structural Prediction, and Learning

Part 2. Generative Models. Latent Representation Learning and Analysis

More information on the Computer Vision workshop web page.

Lecturers

shekhovtsov

Alexander Shekhovtsov, Ph.D.

Researcher
at Center for Machine Perception, Prague

antoniuk

Kostiantyn Antoniuk

Engineer
at Augmented Pixels, Odesa

sereda_sq

Taras Sereda

Researcher engineer
at sprint-42, Kyiv

obednikov

Oleksandr Obiednikov

Head of Face Recognition Department
at RingLabs, Kyiv

Natural Language Processing workshop, July 3-7

Key topics:
– Word and document representations
– Text classification models
– Language modeling
– Semantic similarity analysis
– Sequence-to-sequence modeling

More information on the Natural Language Processing workshop web page.

Lecturers

dyomkin

Vsevolod Dyomkin

NLP expert
Co-founder of the lang-uk project

guts

Yuriy Guts

Machine Learning Engineer
at DataRobot

Reinforcement Learning workshop, July 10-14

Key topics:
– Bandit algorithms
– Markov decision processes
– Model-free control
– Value function approximation
– Policy gradients
– Deep reinforcement learning

More information on the Reinforcement Learning workshop web page.

Lecturer

pablo_maldonado

Pablo Maldonado, Ph.D.

Applied mathematician and data scientist consultant
Czech Technical University, Prague

Participation fees

The participation fees are presented in the table below. Please notice the application deadlines. The participation fee doesn’t include accommodation or meals.

OPTION MAY 22  JUNE 9
Only one workshop (NLP / CV / RL) 6 000 UAH 7 500 UAH
Two workshops (NLP & RL / CV & RL) 9 500 UAH 11 000 UAH

 

Discounts

Organizers can provide discounts which cover up to 30% of tuition fee for bachelor, master, and Ph.D. full-time students from the Ukrainian universities. In order to apply for a discount, the eligible students should fill an additional form and:

  • provide the personal statement that explains a discount need;
  • provide a letter of reference from a teacher of the home university.

A number of discounts are limited. The organizers are not obligated to explain their decision in a case of the acceptance/rejection of a discount application. Apply for a discount by the link https://goo.gl/cFXUwD.

 

Prerequisites

Eligible applicants should be familiar with machine learning basics, deep learning, linear algebra, basics of statistics. Most workshops will use Python as the main programming language. The specific prerequisites are mentioned on a separate page of each workshop.

 

Application process

Before applying for the workshop(s) one should become familiar with the terms of service, application rules, fee payment procedure, study schedule, certificate issuance, accommodation resources. Please, follow the “Terms of service” web page to read more.

 

Реєстрація завершена

 

Партнери

Майстерні з машинного навчання підтримується компаніями та організаціями партнерами. 

 

grammarlyЗбудований лінгвістами та поціновувачами мови, додаток Grammarly знаходить і виправляє сотні складних помилок. Мільйони користувачів по всьому світу довіряють як і безкоштовній , так і преміум версії Grammarly. Безкоштовний ліцензований додаток надали більш ніж 600 провідним університетам і корпораціям. Компанія Grammarly має офіси в Сан-Франциско і Києві.

 

Ring Labs – це R&D центр в Києві, який працює над розробкою програмного забезпечення із застосуванням машинного навчання, комп’ютерногозору, аналіу даних та інших сфер штучного інтелекту. R&D центр в Києві завжди вітає талановитих розробників. Давайте робити великі справи разом!

 

Augmented Pixels створює світ, в якому дрони та роботи можуть бачити і орієнтуватися, як люди. Унікальні алгоритми комп’ютерного зору (SLAM) компанії дозволяють дронам/роботам/мобільним/HMD орієнтуватися з високою точністю, як у відкритому просторі, так і в GPS середовищі, використовуючи тільки основні апаратні засоби (RGB Камера+IMU). 

 

Технічний партнер

FlyElephant is a platform for data scientists, engineers and researchers that accelerates their work and makes doing business easier with automated Data Science and Engineering Simulation.
Our customers can quickly access different Clouds and HPC clusters from a single place; with just one click, get infrastructure with the software and the computing resources that they need; create projects, invite colleagues to join them and share the results within the projects; and deploy computing tasks as APIs without engineers or DevOps. 
FlyElephant is not just a software platform, it is also an expert community. Our partner companies and individual experts can help you solve any of your issues in Data Science and Engineering Simulation array.

 

Previous workshops

You may take a look at the previous workshops by the link below:

Lviv Machine Learning Winter School – 2017

 

Contacts

In case you have any questions, please contact us via